12 citations · 17 across the 6 of their papers we have counts for
6 papers
ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization
Marco Gaudesi, Felix Weninger, Dushyant Sharma +1
End-to-end (E2E) multi-channel ASR systems show state-of-the-art performance in far-field ASR tasks by joint training of a multi-channel front-end along with the ASR model. The mai…
Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition
Felix Weninger, Marco Gaudesi, Ralf Leibold +2
In this paper, we propose a dual-encoder ASR architecture for joint modeling of close-talk (CT) and far-talk (FT) speech, in order to combine the advantages of CT and FT devices fo…
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
Huili Chen, Yue Zhang, Felix Weninger +3
Automatic speech-based affect recognition of individuals in dyadic conversation is a challenging task, in part because of its heavy reliance on manual pre-processing. Traditional a…
openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion
Felix Weninger, Yue Zhang, Rosalind W. Picard
A common problem in machine learning is to deal with datasets with disjoint label spaces and missing labels. In this work, we introduce the openXDATA tool that completes the missin…
Semi-Supervised Learning with Data Augmentation for End-to-End ASR
Felix Weninger, Franco Mana, Roberto Gemello +2
In this paper, we apply Semi-Supervised Learning (SSL) along with Data Augmentation (DA) for improving the accuracy of End-to-End ASR. We focus on the consistency regularization pr…
Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR
Felix Weninger, Jesús Andrés-Ferrer, Xinwei Li +1
Sequence-to-sequence (seq2seq) based ASR systems have shown state-of-the-art performances while having clear advantages in terms of simplicity. However, comparisons are mostly done…